土壤分形理论的应用

介绍了分形理论的产生及发展,讨论了分形理论在土壤科学中的价值和应用。结合国内相应的研究,论述了分形理论在土壤颗粒、空隙、水特征曲线等方面的应用。     

原子吸收法直接测量土壤中的汞含量

实验采用DMA-80自动测汞仪直接测定土壤中的汞含量，详细介绍了土壤样品中汞分析条件的选择，方法在0．4—400ng范围内，线性良好，其检出限为0．2ug／kg。     

ICP-MS法同时测定地表水中18种金属元素

以115In-103Rh为双内标校正系统,采用电感耦合等离子体质谱法同时测定地表水中铜、锌、硒、砷、汞、镉、铅、铁、锰、钼、钴、铍、锑、镍、钡、钒、钛、铊等18种金属元素,优化了测量同位素、内标元素等试验条件。18种金属元素在0μg/L～100μg/L范围内线性良好,检出限为0.006μg/L～0.123μg/L,标准样品的测定值均在保证值范围内,平行测定的RSD为1.7%～4.2%,实际水样加标回收率为89.0%～100%。     

艾比湖水体中氯离子测定方法分析

用氯离子选择电极法测定艾比湖水体中氯离子的含量,对测定条件进行了探讨。结果表明,标准曲线在1.0×10-1~1.0×10-4mol/L内呈良好的线性关系,回收率为96.4%~103%,RSD为3.41%~4.34%,该方法简便、快速、准确,在实际工作中应用效果较为满意。     

气相色谱法测定气田产出水中的甲醇含量

文章建立了使用气相色谱仪分析气田产出水中甲醇含量的方法。通过实验在设定不同分流比的情况下,能有效监测出气田产出水中不同浓度的甲醇含量,此方法灵敏度高,最低检出限为0.02%,测定气田产出水中甲醇加标回收率达到93%～94%。     

2种新分离微藻的生长、氮磷去除和营养特性的比较研究

为了解2种新分离微藻的净化和资源化潜力，研究比较了其生长、氮磷去除和营养特性。结果表明，栅藻和月牙藻的最大生物量（干重）分别为0．78g／L和0．53g／L；最大生物量（干重）增长速率分别为0．05g／（L·d）和0．03g／（L·d）。培养至第23天，栅藻和月牙藻对TN的去除率分别为85．1％和72．5％；对TP的去除率为82．6％和79．7％，但栅藻较月牙藻更易释放较多的No2--N进入藻液。稳定期时，栅藻、月牙藻的粗蛋白质含量和粗蛋白产量（干重）分别为31．8％、19．2％和0．24g／L、0．09g／L；粗脂含量和粗脂产量（干重）分别为7．81％、9．26％和0．06g／L、0．05g／L。综上，与月牙藻相比，栅藻具有明显的生长、氮磷去除和营养优势，在进行水产养殖废水的净化和资源化利用上可作为优选藻种。     

杉木观光木混交林群落的能量生态

对杉木观光木混交林群落能量的研究结果表明：混交林中观光木地上部分灰分含量以皮最高，而杉则以叶最高，两者GCV（干重热值）和AFCV（去灰分热值）均以叶为最高；观光木、杉木地下各部分的灰分含量均随径级的减小而增加，GCV均以粗根最高，细根最低；观光木的平均灰分含量高于杉木，但GCV和AFCV均低于杉木；从乔木层、灌木层到草本层，灰分含量依次增加，GCV和AFCV则依次降低，混交林群落的能量现存量公占群落的很小一部分，而其能量年净增量、归还量和净固定量却占有一定比重，混交林群落的太阳能转化率为1.57%，而纯林为1.44%，表明杉观混交林是一种能量生产力较高和维持地力能力较强的杉阔混交类型。同时，混交林的能量累积比大于纯林，能量流动速率则低于纯林；乔木层的能量累积比高于林下植被，能量流动速率则低于林下植被，从能量的角度看，构建合理的群落结构必须选择高能量累积比的乔木层树种，同时须促进能量流动速率快的林下植被的发育以维持和提高地力。     

警惕8个常见的“水果陷阱”

<正>美味水果让很多人都乐在其中,但要知道,吃水果也是一门学问。如果陷入"水果陷阱",不但无法改善健康,反而会引起各种不良后果。看到市面上琳琅满目的水果,你是不是也心动了呢?专家提醒,食用水果要遵循"新鲜、时令、多种、适量"的原则,同时也有注意避开一些常见误区。要想充分发挥水果的健康益处,就得避开以下8个误区:误区1:水果维生素含量最高。维生素是个大家族,成员很多。水果可能富含其中某些成分,但也有其"短板",比如水果不含脂溶性维生素,且多数水果的维生素C含量有限。     

Profile of Methane Concentrations in Soil and Atmosphere in Alpine Steppe Ecosystem on Tibetan Plateau

The methane concentration profile from -1.5m depth in soil to 32m height in air was measured in alpine steppe located in the permafrost area. Methane concentrations showed widely variations both in air and in soil during the study period. The mean concentrations in atmosphere were all higher than those in soil, and the highest methane concentration was found in air at the height of 16m with the lowest concentration occurring at the depth of 1.5m in soil. The variations of atmospheric methane concentrations did not show any clear pattern both temporally and spatially, although they exhibited a more steadystable state than those in soil. During the seasonal variations, the methane concentrations at different depths in soil were significantly correlated （R^2〉0.6） with each other comparing to the weak correlations （R^2〈0.2） between the atmospheric concentra- tions at different heights. Mean methane concentrations in soil significantly decreased with depth. This was the compositive influence of the decreasing production rates and the increasing methane oxidation rates, which was caused by the descent soil moisture with depth. Although the methane concentrations at all depths varied widely during the growing season, they showed very distinct temporal variations in the non-growing season. It was indicated from the literatures that methane oxidation rates were positively correlated with soil temperature. The higher methane concentrations in soil during the winter were determined by the lower methane oxidation rates with decreasing soil temperatures, whereas methane production rates had no reaction to the lower temperature. Relations between methane contribution and other environmental factors were not discussed in this paper for lacking of data, which impulse us to carry out further and more detailed studies in this unique area.